진단 초기 수술 전 부인암 환자의 디스트레스와 불확실성이 지지적 간호요구도에 미치는 영향
Influences of Distress and Uncertainty on Supportive Care Needs in Preoperative Gynecological Cancer Patients in the Early Stages of Diagnosis
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Purpose: This study aimed to identify the relationship between distress, uncertainty, and supportive care needs of preoperative gynecological cancer patients in the early stages of diagnosis and to identify the influencing factors on supportive care needs. Methods: This paper employed a cross-sectional study design. Data were collected from 154 preoperative gynecological cancer patients at a tertiary hospital in Seoul, South Korea. A self-report questionnaire was used that included a distress thermometer, a problem list, the Mishel Uncertainty in Illness Scale, and the Supportive Care Needs Survey-Short Form 34. In addition, descriptive statistics, a Pearson correlation coefficient, and multiple regression analyses were conducted using SPSSWIN 27.0. Results: The results showed a mean distress of 6.16±2.06 out of 10, a mean uncertainty of 92.49±11.41 out of 165, and mean supportive care needs of 46.50±14.48 out of 100. Supportive care needs were found to have significant positive correlations with distress (r=.39, p<.001) and uncertainty (r=.39, p<.001). Multiple regression analysis revealed that ambiguity of uncertainty (β=.34, p<.001), distress (β=.29, p<.001), and marital status (β=-.26, p=.006) were significant predictors of supportive care needs, with an overall explanatory power of 29%. Conclusion: This study identified ambiguity of uncertainty, distress, and marital status as significant predictors of supportive care needs of preoperative gynecological cancer patients in the early stages of diagnosis. The findings of this study highlight the need to develop an intervention that addresses distress and uncertainty to meet the supportive care needs of patients with gynecological cancer at the early stage of diagnosis.
Abstract
Purpose: This study aimed to identify the relationship between distress, uncertainty, and supportive care needs of preoperative gynecological cancer patients in the early stages of diagnosis and to identify the influencing factors on supportive care needs. Methods: This paper employed a cross-sectional study design. Data were collected from 154 preoperative gynecological cancer patients at a tertiary hospital in Seoul, South Korea. A self-report questionnaire was used that included a distress thermometer, a problem list, the Mishel Uncertainty in Illness Scale, and the Supportive Care Needs Survey-Short Form 34. In addition, descriptive statistics, a Pearson correlation coefficient, and multiple regression analyses were conducted using SPSSWIN 27.0. Results: The results showed a mean distress of 6.16±2.06 out of 10, a mean uncertainty of 92.49±11.41 out of 165, and mean supportive care needs of 46.50±14.48 out of 100. Supportive care needs were found to have significant positive correlations with distress (r=.39, p<.001) and uncertainty (r=.39, p<.001). Multiple regression analysis revealed that ambiguity of uncertainty (β=.34, p<.001), distress (β=.29, p<.001), and marital status (β=-.26, p=.006) were significant predictors of supportive care needs, with an overall explanatory power of 29%. Conclusion: This study identified ambiguity of uncertainty, distress, and marital status as significant predictors of supportive care needs of preoperative gynecological cancer patients in the early stages of diagnosis. The findings of this study highlight the need to develop an intervention that addresses distress and uncertainty to meet the supportive care needs of patients with gynecological cancer at the early stage of diagnosis.